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GOOGLE-BIGQUERY QUESTIONS

Structuring BigQuery with large array of data as input
Structuring BigQuery with large array of data as input
wish helps you I am interested in obtaining the most frequently word associations with a particular word via BigQuery's ability find trigrams data. For example, when using Google's Ngram viewer, I could input great *, which will give me the most freq
TAG : google-bigquery
Date : November 15 2020, 09:01 AM , By : Jorge P.
Custom date format for loading data into BigQuery, using bq?
Custom date format for loading data into BigQuery, using bq?
I hope this helps . Another alternative is to load this field as STRING, and convert it to TIMESTAMP inside BigQuery itself, copying the data into another table (and deleting the original one afterwards), and doing the following transformation:
TAG : google-bigquery
Date : November 09 2020, 09:01 AM , By : rajesh babu Tubati
Millions of tables on Google BigQuery
Millions of tables on Google BigQuery
may help you . That might work, but partitioning your table this finely is highly discouraged. You might be better off partitioning your data into a smaller number of tables, say 10 or 100, and querying just the one(s) you need. What do I mean by dis
TAG : google-bigquery
Date : November 06 2020, 03:59 AM , By : Shibyu Rehash
Use Bigquery API or bq command line tool to create new table
Use Bigquery API or bq command line tool to create new table
Hope that helps I am trying to come up with a programmatic way to generate a new bigquery table from a pre-existing table. I know how to do this to create a new view using the bq command line tool , If it's a normal table (not a view), you can use th
TAG : google-bigquery
Date : November 04 2020, 09:01 AM , By : ravi bhatt
A possible way to remove BigQuery column
A possible way to remove BigQuery column
will be helpful for those in need You can do this by running a query that copies the old table to the new one. You should specify allowLargeResults:true and flattenSchema:false. The former allows you to have query results larger than 128MB, the latte
TAG : google-bigquery
Date : November 04 2020, 08:17 AM , By : Virat Pandagre
Query distinct in google bigquery
Query distinct in google bigquery
will be helpful for those in need it is exactly as in you previous question(s) - you just need to add extra group/partition by month --> see use of YearMonth field
TAG : google-bigquery
Date : November 01 2020, 03:09 PM , By : Elise yvette
BigQuery query taking a long time
BigQuery query taking a long time
it should still fix some issue It looks like the issue with your table is that it was created in a lot of small chunks; this takes more work to query, since we spend a lot of time on filesystem operations (listing files and opening them).Even so, a t
TAG : google-bigquery
Date : October 31 2020, 01:52 PM , By : Adrian
Dataflow to BigQuery quota
Dataflow to BigQuery quota
hope this fix your issue From your message, it sounds like you are executing your pipeline in batch, not streaming, mode.In Batch mode, jobs run on the Google Cloud Dataflow service do not use BigQuery's streaming writes. Instead, we write all the ro
TAG : google-bigquery
Date : October 29 2020, 11:32 PM , By : Bobby A
Bigquery denomalization
Bigquery denomalization
wish helps you Unless the implication of denormalising your data is a outrageous increase in storage cost (which is unlikely) you are better of completely denormalising it.Bigquery will probably perform faster and queries will be easier to set up. Th
TAG : google-bigquery
Date : October 24 2020, 01:32 PM , By : Iddi Saabik
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